Asset & Wealth Management, Product Manager, Applied AI & Data Products, Vice President

JPMorgan Chase

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Work type
On-site
Location
Jersey City, NJ
Employment
Full-time
Posted
49 days ago
Freshness
Confirmed live today

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Similar $198k
$154k $243k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $168,750–$227,837.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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TL;DR · Asset & Wealth Management, Product Manager, Applied AI & Data Products, Vice President

JOB TITLE: Asset & Wealth Management - Product Manager, Applied AI & Data Products - Vice President As a Vice President within the Analytics & Applied AI team of the Chief Data & Analytics Office, you will own the product strategy and delivery for a portfolio of unified data products. You will manage the multi-quarter roadmap, prioritize backlogs, write user stories, and conduct customer discovery to define success metrics. This role requires shipping AI-enabled features using large language models, retrieval-augmented generation, and AI agents while utilizing these tools to accelerate your own product management workflow. You will partner with data science teams to operationalize models responsibly across regulatory, compliance, and analytics domains. Required skills include experience with Snowflake, Starburst, and Databricks, alongside a deep understanding of data mesh concepts and financial services data.

What you'll do

  • Define and own the product vision, strategy, and multi-quarter roadmap for a portfolio of unified data products.
  • Own and prioritize the product backlog by writing clear requirements and user stories for engineering teams.
  • Conduct customer discovery and define success metrics, including KPIs and OKRs, to measure product outcomes.
  • Ship AI-powered features and products, including the application of retrieval-augmented generation (RAG) and AI agents.
  • Use AI and LLM tools within the product management workflow to accelerate discovery, prototyping, and delivery.
  • Partner with data science teams to operationalize models with controls for quality, safety, privacy, and compliance.
  • Champion data quality, governance, privacy, and regulatory compliance throughout the entire product lifecycle.
  • Deliver unified data products across multiple core domains aligned with the federated data mesh strategy.

What we're looking for

  • Bachelor's degree required.
  • 7+ years of financial services experience in data and analytics, wealth/private banking, or related domains.
  • Demonstrated experience delivering data and/or analytics/AI products end to end.
  • Demonstrated experience building and shipping AI- and LLM-powered products and using AI/LLM tools in the product management workflow.
  • Familiarity with modern data platforms like Snowflake, Starburst, or Databricks and data mesh concepts.
  • Strong analytical, communication, and stakeholder management skills to lead through influence across engineering pods.
  • Experience with regulatory and compliance data products (preferred).
  • Experience with GenAI/LLM patterns, prompt engineering, AI agents, and RAG (preferred).

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